Open AccessEstimation of shoulder width and neck girth based on 3-D point cloud data
Author(s) -
Xin Lu,
Panpan Guo,
Liu Guo-lian
Publication year - 2021
Publication title -
thermal science/thermal science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.339
H-Index - 43
eISSN - 2334-7163
pISSN - 0354-9836
DOI - 10.2298/tsci200311047l
Subject(s) - point cloud , girth (graph theory) , cloud computing , point (geometry) , computer science , scale (ratio) , mathematics , artificial intelligence , geometry , cartography , discrete mathematics , geography , operating system
The 3-D point cloud map in the anthropometry has attracted intensive attention due to the availability of fast and accurate laser scan devices. Inevitably, there is a data deviation between 3-D measurement and manual tests. To address this problem, shoulder width and neck girth are accurately determined from 3-D point cloud, the two-scale fractal is used for 3-D point cloud simplification, and young female samples are used in our experiment to show the accuracy.